Vice President, Data Science & Product Analytics role responsible for leading product analytics and performance diagnostics at adMarketplace. Key duties include investigating auction outcomes, click and conversion funnels, supply quality, advertiser ROI, financial analysis, user behavior, and ranking logic. Develop frameworks to identify performance issues and optimization opportunities. Collaborate with Product, Engineering, Design, FP&A, and Commercial leadership to influence product direction and measure product health. Lead experimentation, causal inference, and incrementality frameworks. Partner with teams to design and interpret experiments and standardize metrics and reporting. Deliver executive insights to shape roadmap and investment decisions. Requires 12+ years experience in product analytics, data science, or experimentation, advanced SQL skills, statistical expertise, and leadership experience. Background in search, performance marketing, adtech, or marketplaces preferred. Degree in quantitative field required. Compensation ranges from $300,000 to $350,000 plus bonus and equity. Located in New York, United States.
What you'll do
Lead product analytics and performance diagnostics across the marketplace
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Conduct deep-dive investigations into auction outcomes, click & conversion funnels, supply quality, advertiser ROI, financial analysis, user behavior, and ranking logic
Develop frameworks to surface hidden performance issues, inefficiencies, and optimization opportunities
Identify problems, surface opportunities, and influence product direction partnering with Product, Engineering, Design, FP&A and Commercial leadership
Measure product health, discover opportunities, and forecast outcomes
Provide executive-facing insights that shape roadmap priorities and investment decisions
Diagnose performance issues across auctions, ranking and relevance, and conversion funnels
Analyze supply–demand dynamics and marketplace balance
Evaluate performance by advertiser, query, geo, device, and vertical segments
Translate complex data into clear, prioritized problem statements for product teams
Actively surface previously unknown risks and opportunities
Identify leading indicators of performance degradation or growth potential
Influence product strategy by connecting analytical findings directly to business impact, trade-offs, and expected outcomes
Guide product teams toward highest-leverage opportunities using data-backed narratives
Own experimentation, causal inference, and incrementality frameworks to ensure decisions are grounded in validated impact
Partner with Product, Engineering, and Data Engineering to design, run, and interpret experiments evaluating features, ranking changes, and marketplace policies
Standardize measurement, metrics, and reporting across product teams
Build scalable analytics and experimentation systems delivering fast, trusted insights from complex event-level data
Prepare and deliver clear, compelling narratives connecting product behavior to business outcomes for executives
Requirements
Deep expertise in product analytics and experimentation including A/B and multivariate testing, incrementality and lift analysis, funnel and cohort analysis, and KPI forecasting
Strong statistical foundation with ability to interpret complex experimental and causal results
Advanced SQL skills and experience working with large, event-level datasets
Fluency with modern analytics, data platforms, and visualization tools such as Tableau and Databricks
Strong product and business intuition with a track record of influencing product strategy and connecting insights to growth, efficiency, and P&L impact
Experience operating at the intersection of product, analytics, and business
Demonstrated ability to lead senior analytical teams and communicate complex insights to executive audiences
Degree in a quantitative field (Statistics, Economics, Mathematics, Computer Science, or similar)
12+ years of experience in product analytics, data science, experimentation, or performance measurement
Background in search, performance marketing, adtech, or large-scale marketplaces
